supergoose/flan_combined_task905_hate_speech_offensive_classification

inputs stringlengths 266 1.18k	targets stringclasses 12 values	_template_idx int64 0 9	_task_source stringclasses 1 value	_task_name stringclasses 1 value	_template_type stringclasses 2 values
TASK DEFINITION: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. PROBLEM: Tweet: @HobsonDarlene #BlessJesus Amos 3:3 Can two walk together, unless they are agreed? #DifferentLevels Label: Neither SOLUTION: true PROBLEM: Tweet: @AlexaDelsanter karma is a bitch Label: Neither SOLUTION: false PROBLEM: Tweet: Hey @DreamShakeSBN fans. If anyone is wondering what the yellow tab on the back of the collar for - it's for teams that have won a champion Label: Offensive SOLUTION:	false	8	NIv2	task905_hate_speech_offensive_classification	fs_opt
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. Example input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers Label: Hate Speech Example output: true Example explanation: The writer mentions emotions like hating so it is clearly a hate speech. Q: Tweet: #FreeballoutPartyPart3 bitch it's going! 3 mo weeks🙌 Label: Offensive A:	true	3	NIv2	task905_hate_speech_offensive_classification	fs_opt
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task. You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers Label: Hate Speech Solution: true Why? The writer mentions emotions like hating so it is clearly a hate speech. New input: Tweet: Can't be many things worse than having COPS interrupted because a friggin Yankee game is still going on. Label: Hate Speech Solution:	false	0	NIv2	task905_hate_speech_offensive_classification	fs_opt
Detailed Instructions: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. See one example below: Problem: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers Label: Hate Speech Solution: true Explanation: The writer mentions emotions like hating so it is clearly a hate speech. Problem: Tweet: @MrsZookeeper @Cornfrmr When Mary asked him about it, said "the part you eat is white-you throw the yellow away" Label: Neither Solution:	true	4	NIv2	task905_hate_speech_offensive_classification	fs_opt
Given the task definition, example input & output, solve the new input case. You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. Example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers Label: Hate Speech Output: true The writer mentions emotions like hating so it is clearly a hate speech. New input case for you: Tweet: @CruzanChoklate look at you with yellow fever. Label: Neither Output:	true	1	NIv2	task905_hate_speech_offensive_classification	fs_opt
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. One example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers Label: Hate Speech Solution is here: true Explanation: The writer mentions emotions like hating so it is clearly a hate speech. Now, solve this: Tweet: It's stuff like this that makes black people look retarded. It's not expressing yourself its stupidity http://t.co/MxbGfPvICF Label: Hate Speech Solution:	false	6	NIv2	task905_hate_speech_offensive_classification	fs_opt
Detailed Instructions: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. See one example below: Problem: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers Label: Hate Speech Solution: true Explanation: The writer mentions emotions like hating so it is clearly a hate speech. Problem: Tweet: "@MannyDiesel: Def not cowboy lol RT @ArtofFloyd: Terrell Owens was the best Eagle & Cowboy ever" ..dude cried like a bitch on tv, over Romo Label: Offensive Solution:	true	4	NIv2	task905_hate_speech_offensive_classification	fs_opt
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. Example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers Label: Hate Speech Example solution: true Example explanation: The writer mentions emotions like hating so it is clearly a hate speech. Problem: Tweet: Fairy Tale Hat - free crochet pattern for child and adult at http://t.co/0lRaBLMHB2 http://t.co/99zVbmYVe9 Label: Offensive	Solution: false	5	NIv2	task905_hate_speech_offensive_classification	fs_opt
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. Let me give you an example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers Label: Hate Speech The answer to this example can be: true Here is why: The writer mentions emotions like hating so it is clearly a hate speech. OK. solve this: Tweet: @AustinZ18 😂😂😂😂😂 i can not wait to see this fucking cunt. Her ass is mine.😤😤😤😤 Label: Neither Answer:	false	8	NIv2	task905_hate_speech_offensive_classification	fs_opt
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. Ex Input: Tweet: “@MyDick_SuckThat: Who that pussy wet for ?” http://t.co/CruDDDHxHh Label: Offensive Ex Output: true Ex Input: Tweet: @FixItJESUSx just be a hoe then Label: Hate Speech Ex Output: false Ex Input: Tweet: ' I still don't got the time for a bitch to be actin iffy 󾭻 . Label: Hate Speech Ex Output:	false	1	NIv2	task905_hate_speech_offensive_classification	fs_opt
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. Tweet: @LanceTHESPOKEN Statement of the Day: Ppl who RT @ChiefsatWar are even dumber than he is. The ole birds of a feather type of deal. Label: Neither true Tweet: "@Poobie_: When bitches TWERK on the computer.... ME: "In ya 👙, in ya damn 👙‼️"" Label: Offensive true Tweet: I ignore birds Label: Offensive	false	0	NIv2	task905_hate_speech_offensive_classification	fs_opt
Teacher: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. Teacher: Now, understand the problem? If you are still confused, see the following example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers Label: Hate Speech Solution: true Reason: The writer mentions emotions like hating so it is clearly a hate speech. Now, solve this instance: Tweet: "Why would you wanna be the Green Ranger? He's evil!" Duh bitch Label: Offensive Student:	true	2	NIv2	task905_hate_speech_offensive_classification	fs_opt
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. Example input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers Label: Hate Speech Example output: true Example explanation: The writer mentions emotions like hating so it is clearly a hate speech. Q: Tweet: Can't tell if Mexico has been impressive or if Brazil has just been trash today Label: Hate Speech A:	false	3	NIv2	task905_hate_speech_offensive_classification	fs_opt
instruction: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. question: Tweet: @TMZ @britneyspears mickey mouse ears hat....and tail for that matter. Label: Neither answer: true question: Tweet: @ChrisMcDowell_ dont be a bitch. Label: Neither answer: false question: Tweet: @Bitterchick Dat means get the fuck out hoe I be thinkin Label: Hate Speech answer:	false	9	NIv2	task905_hate_speech_offensive_classification	fs_opt
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. Example input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers Label: Hate Speech Example output: true Example explanation: The writer mentions emotions like hating so it is clearly a hate speech. Q: Tweet: If you would have followed George Washington in 1776, it means that you're white trash. Label: Neither A:	false	3	NIv2	task905_hate_speech_offensive_classification	fs_opt
Part 1. Definition You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. Part 2. Example Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers Label: Hate Speech Answer: true Explanation: The writer mentions emotions like hating so it is clearly a hate speech. Part 3. Exercise Tweet: @brrrrangadang this nigga 😑😑.. know damn well you a coon Label: Hate Speech Answer:	true	7	NIv2	task905_hate_speech_offensive_classification	fs_opt
Detailed Instructions: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. See one example below: Problem: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers Label: Hate Speech Solution: true Explanation: The writer mentions emotions like hating so it is clearly a hate speech. Problem: Tweet: @RPopBox @boxing Yeah he definitely wasn't the same guy who fought Lara but he cuts the ring off well which should be a huge boon to Canelo Label: Neither Solution:	true	4	NIv2	task905_hate_speech_offensive_classification	fs_opt
TASK DEFINITION: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. PROBLEM: Tweet: Any solution to ZOG which doesn't deal with demographics - only laws - is no solution. #NorthwestImperative http://t.co/Vhy5s2apCn Label: Hate Speech SOLUTION: false PROBLEM: Tweet: Have you ever popped champagne on a plane, while gettin some brain Whipped it out, she said "I never seen Snakes on a Plane" Label: Offensive SOLUTION: false PROBLEM: Tweet: RT @BrandonTierney: Crooked number followed by shut down frame, love it. #Yankees Label: Hate Speech SOLUTION:	false	8	NIv2	task905_hate_speech_offensive_classification	fs_opt
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. [Q]: Tweet: "Takin it straight to dirt, why finger the pussy when I know I can put my dick in it?" @xErnee18 Label: Offensive [A]: true [Q]: Tweet: I wanna try pot brownies. Label: Offensive [A]: false [Q]: Tweet: Highhhhh watching dawn of planet of the apes #StonerNation #LifeComplete Label: Hate Speech [A]:	false	5	NIv2	task905_hate_speech_offensive_classification	fs_opt
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. One example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers Label: Hate Speech Solution is here: true Explanation: The writer mentions emotions like hating so it is clearly a hate speech. Now, solve this: Tweet: @ktpowers98 @WendyDavisTexas Ha Ha Ha no good fat dyke Label: Hate Speech Solution:	true	6	NIv2	task905_hate_speech_offensive_classification	fs_opt
Given the task definition, example input & output, solve the new input case. You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. Example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers Label: Hate Speech Output: true The writer mentions emotions like hating so it is clearly a hate speech. New input case for you: Tweet: Must have been a light skin hoe “@CampaignMindy: Lmfao wtf she mean af 😭😭“@TrickingGawd: HE WASNT READY BRUH RIP!! http://t.co/lJRqrdBMfi”” Label: Neither Output:	false	1	NIv2	task905_hate_speech_offensive_classification	fs_opt
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. Ex Input: Tweet: Padre /Yankee/Angel fans need to stfu Label: Offensive Ex Output: false Ex Input: Tweet: "Why u being such a little bitch chris you ain't six bitch" - Allisons Mom Label: Offensive Ex Output: true Ex Input: Tweet: He said capri-sun and zebra cake😂 Label: Hate Speech Ex Output:	false	1	NIv2	task905_hate_speech_offensive_classification	fs_opt
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. -------- Question: Tweet: 😩😩😂 damn roaches got dicks n pussy to be doing this lol??? http://t.co/OiIxcfos3m Label: Offensive Answer: true Question: Tweet: @TMZ @britneyspears mickey mouse ears hat....and tail for that matter. Label: Neither Answer: true Question: Tweet: RT @AnthonyBialy: Well, Maryland is just a bunch of hateful rednecks, anyway. Label: Neither Answer:	false	7	NIv2	task905_hate_speech_offensive_classification	fs_opt
Part 1. Definition You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. Part 2. Example Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers Label: Hate Speech Answer: true Explanation: The writer mentions emotions like hating so it is clearly a hate speech. Part 3. Exercise Tweet: Black guy in class: attempts to throw a paper ball into the trash misses Mrs. Mundy: "You're a disgrace to your race, Marcus" 😂😂😂 Label: Offensive Answer:	false	7	NIv2	task905_hate_speech_offensive_classification	fs_opt
instruction: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. question: Tweet: @Chink_19 shut up chink.!!! Label: Hate Speech answer: true question: Tweet: RT @JHarmelink182: The fox says you're a cunt. Label: Neither answer: false question: Tweet: NBA, handle your zebras. Label: Offensive answer:	false	9	NIv2	task905_hate_speech_offensive_classification	fs_opt
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. Let me give you an example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers Label: Hate Speech The answer to this example can be: true Here is why: The writer mentions emotions like hating so it is clearly a hate speech. OK. solve this: Tweet: NBA, handle your zebras. Label: Offensive Answer:	false	8	NIv2	task905_hate_speech_offensive_classification	fs_opt
TASK DEFINITION: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. PROBLEM: Tweet: "@ronald_iongi: Ummmmmm okay http://t.co/4BVLsci5K5" you got hoes from left to right 😂😂 do yah thang! Label: Offensive SOLUTION: true PROBLEM: Tweet: Proud to be a redneck patriot :) @Docs357 @Cats_lmbo @KoichicCheryl @bja_tw @yrwol7 @DavesGrill Label: Offensive SOLUTION: false PROBLEM: Tweet: "@DaeDaviDavie: @white_thunduh im the bitch okay nudes pat 😪😏🐸" wow Label: Offensive SOLUTION:	true	8	NIv2	task905_hate_speech_offensive_classification	fs_opt
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task. You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers Label: Hate Speech Solution: true Why? The writer mentions emotions like hating so it is clearly a hate speech. New input: Tweet: “@NoRapist: on my way to fuck ur bitch http://t.co/ZUVwCcn0IV” @mckinley719 Label: Offensive Solution:	true	0	NIv2	task905_hate_speech_offensive_classification	fs_opt
TASK DEFINITION: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. PROBLEM: Tweet: #vegas #bitch http://t.co/wbAqQ5vFpd Label: Offensive SOLUTION: true PROBLEM: Tweet: Poor Henry, he's supporting the right 2/3 of you guys all on his gut! Don't hurt it, Charlie... (@lizziecuevas)http://yfrog.com/h300cwrj Label: Hate Speech SOLUTION: false PROBLEM: Tweet: “@NoRapist: on my way to fuck ur bitch http://t.co/ZUVwCcn0IV” @mckinley719 Label: Offensive SOLUTION:	true	8	NIv2	task905_hate_speech_offensive_classification	fs_opt
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. One example is below. Q: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers Label: Hate Speech A: true Rationale: The writer mentions emotions like hating so it is clearly a hate speech. Q: Tweet: @beth4158 no steak here either. No hurry on brownies. Just that picture u posted made me all but drool on my phone. :) Label: Neither A:	true	9	NIv2	task905_hate_speech_offensive_classification	fs_opt
Detailed Instructions: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. See one example below: Problem: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers Label: Hate Speech Solution: true Explanation: The writer mentions emotions like hating so it is clearly a hate speech. Problem: Tweet: @StarkFreeOrDie ...honestly. That's where I'm the most retarded and is why stuck as artist hoping for a fair "dealer/manager" situation.... Label: Neither Solution:	true	4	NIv2	task905_hate_speech_offensive_classification	fs_opt
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. One example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers Label: Hate Speech Solution is here: true Explanation: The writer mentions emotions like hating so it is clearly a hate speech. Now, solve this: Tweet: RT @AnthonyBialy: Well, Maryland is just a bunch of hateful rednecks, anyway. Label: Neither Solution:	false	6	NIv2	task905_hate_speech_offensive_classification	fs_opt
TASK DEFINITION: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. PROBLEM: Tweet: @jazqui That's why I'm partially glad that I have to say "Hi ho, Kermit the Frog here" to slip into my Kermit voice well. Label: Neither SOLUTION: true PROBLEM: Tweet: @DJ_Workmann @BigMoneyNiquee mane y'all niccas crazy af wiz old shit got niccas bitin his style n errthan Label: Neither SOLUTION: false PROBLEM: Tweet: “@_OttoMattic: How you make a salad and have no vegetables on the bitch?!? Give me a break. 😂😭😂😭” potato salad Label: Neither SOLUTION:	false	8	NIv2	task905_hate_speech_offensive_classification	fs_opt
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. [EX Q]: Tweet: At all my ritz crackers. Idk what to do with myself anymore. Label: Hate Speech [EX A]: false [EX Q]: Tweet: “@TheRealTenski: Miss you @Ex” pussy Label: Offensive [EX A]: true [EX Q]: Tweet: I am extremely sad to have to admit that some of the best 21st century Arabic rhymes have been written by Jihadis Label: Hate Speech [EX A]:	false	6	NIv2	task905_hate_speech_offensive_classification	fs_opt
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. [Q]: Tweet: Hazlenut coffee and graham crackers every morning 😍🙌💘 Label: Offensive [A]: false [Q]: Tweet: @Hovaa_ your pet zebra. stripey? Label: Neither [A]: true [Q]: Tweet: ★ BEST ASIAN MASSAGE ON THE park slope --TOP RATED SPA ★ 718-622-0221 - 24 http://t.co/gPbi04YoBq Label: Neither [A]:	true	5	NIv2	task905_hate_speech_offensive_classification	fs_opt
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. One example is below. Q: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers Label: Hate Speech A: true Rationale: The writer mentions emotions like hating so it is clearly a hate speech. Q: Tweet: Enjoy 50% off @GreenFestival #DC tickets with our code and check us out at booth #640! Vegan brownies samples & more! http://t.co/scDZnDk2Aq Label: Offensive A:	false	9	NIv2	task905_hate_speech_offensive_classification	fs_opt
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. -------- Question: Tweet: ,@KiroGx me gusta "typing like a retard to make the other person look dumber by pretending to agree with them" bazinga Label: Hate Speech Answer: true Question: Tweet: "I would rather you call me bitch than sir" -my manager Label: Offensive Answer: true Question: Tweet: "@thotmouths: http://t.co/aQKGOrAUxx" Lmao bitch got on some huggies Label: Offensive Answer:	true	7	NIv2	task905_hate_speech_offensive_classification	fs_opt
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. Let me give you an example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers Label: Hate Speech The answer to this example can be: true Here is why: The writer mentions emotions like hating so it is clearly a hate speech. OK. solve this: Tweet: @StunningStina their tortillas are trash though. Label: Neither Answer:	true	8	NIv2	task905_hate_speech_offensive_classification	fs_opt
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. Q: Tweet: @AGreasyMonkey @Huntermoore faggot Label: Hate Speech A: true ** Q: Tweet: Fairy tale world lmao Label: Hate Speech A: false ** Q: Tweet: I'd rather hear Neal DeGrasse Tyson tell me about scientific mistakes in their assumptions than some WASP... http://t.co/tLec4vKUYd Label: Hate Speech A:	false ****	4	NIv2	task905_hate_speech_offensive_classification	fs_opt
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. Example input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers Label: Hate Speech Example output: true Example explanation: The writer mentions emotions like hating so it is clearly a hate speech. Q: Tweet: @jayswaggkillah Is a fag Label: Hate Speech A:	true	3	NIv2	task905_hate_speech_offensive_classification	fs_opt
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. Let me give you an example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers Label: Hate Speech The answer to this example can be: true Here is why: The writer mentions emotions like hating so it is clearly a hate speech. OK. solve this: Tweet: I'd rather hear Neal DeGrasse Tyson tell me about scientific mistakes in their assumptions than some WASP... http://t.co/tLec4vKUYd Label: Hate Speech Answer:	false	8	NIv2	task905_hate_speech_offensive_classification	fs_opt
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. Input: Consider Input: Tweet: @pcrossvol there's always one...they never realize they are the worst- the unsolicited unaffiliated trash talker" Label: Neither Output: true Input: Consider Input: Tweet: “@BSBHForum: #BeatTheHabs #NYR http://t.co/okvhWHy3Vh” @CanadiensMTL #pussy Label: Offensive Output: true Input: Consider Input: Tweet: ' Fuccccck that was ma niggah from Cali swag 󾍆󾍀 R.I.P Jayare . Label: Hate Speech	Output: false	2	NIv2	task905_hate_speech_offensive_classification	fs_opt
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. Q: Tweet: @Aram2432 @Marco_Spatula who invited this fag? Label: Hate Speech A: false ** Q: Tweet: @tonipmusic woahh!! Ahha I remember her from Charlie and the Chocolate Factory! Who do you think killed Lucy? I think it was Abby Label: Neither A: true ** Q: Tweet: Oh my. There was an Oreo baked into that chocolate chip cookie. #surprise Label: Hate Speech A:	false ****	4	NIv2	task905_hate_speech_offensive_classification	fs_opt
Teacher: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. Teacher: Now, understand the problem? If you are still confused, see the following example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers Label: Hate Speech Solution: true Reason: The writer mentions emotions like hating so it is clearly a hate speech. Now, solve this instance: Tweet: Going up to the view point and seeing star child..... What the monkey Label: Hate Speech Student:	false	2	NIv2	task905_hate_speech_offensive_classification	fs_opt
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. Example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers Label: Hate Speech Example solution: true Example explanation: The writer mentions emotions like hating so it is clearly a hate speech. Problem: Tweet: I can't fuck a scary hoe. Label: Offensive	Solution: false	5	NIv2	task905_hate_speech_offensive_classification	fs_opt
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. Example input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers Label: Hate Speech Example output: true Example explanation: The writer mentions emotions like hating so it is clearly a hate speech. Q: Tweet: Dude was talmbout "I don't know why everyone hates Nickelback!" Because they're trash, that's why. Label: Offensive A:	false	3	NIv2	task905_hate_speech_offensive_classification	fs_opt
Teacher: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. Teacher: Now, understand the problem? If you are still confused, see the following example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers Label: Hate Speech Solution: true Reason: The writer mentions emotions like hating so it is clearly a hate speech. Now, solve this instance: Tweet: Nobody gives me a trophy cause I'm old and colored #FavStarTweets  Label: Hate Speech Student:	false	2	NIv2	task905_hate_speech_offensive_classification	fs_opt
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. Input: Consider Input: Tweet: @GBLeighton remember 94 can be a bitch! Stop to drink if you get stalled #wib advice! Label: Hate Speech Output: false Input: Consider Input: Tweet: "Shake that Bear ... aka two rednecks having sex on a dead bear" Label: Offensive Output: true Input: Consider Input: Tweet: RT @_missvain: Lmfaooooo >RT @sirTurn3r: Lmaoo Thats what u got from this? RT @waddupivy: Dougie be yamming the coon all that beat boxing 😩 Label: Neither	Output: false	2	NIv2	task905_hate_speech_offensive_classification	fs_opt
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. [EX Q]: Tweet: "@Dietrich1892: Yall shut up:p" make me bitch Label: Offensive [EX A]: true [EX Q]: Tweet: I wanna try pot brownies. Label: Offensive [EX A]: false [EX Q]: Tweet: RT @ComedianSpank: I went to college Every college got a bird class where u can get ya friend to sign u in & get an A out the class Rashad … Label: Offensive [EX A]:	false	6	NIv2	task905_hate_speech_offensive_classification	fs_opt
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. One example is below. Q: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers Label: Hate Speech A: true Rationale: The writer mentions emotions like hating so it is clearly a hate speech. Q: Tweet: @Carxlito PS3 and case is still in the trash can. idgaf anymore Label: Neither A:	true	9	NIv2	task905_hate_speech_offensive_classification	fs_opt
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. Example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers Label: Hate Speech Example solution: true Example explanation: The writer mentions emotions like hating so it is clearly a hate speech. Problem: Tweet: !!!!!!!!!!!!! RT @ShenikaRoberts: The shit you hear about me might be true or it might be faker than the bitch who told it to ya  Label: Offensive	Solution: true	5	NIv2	task905_hate_speech_offensive_classification	fs_opt
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. One example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers Label: Hate Speech Solution is here: true Explanation: The writer mentions emotions like hating so it is clearly a hate speech. Now, solve this: Tweet: @lord_jonesss none of my business ? Nigga if you get that I'm living with you lol and I'm stealing one of them bitches and 100k 🐸☕️ Label: Hate Speech Solution:	true	6	NIv2	task905_hate_speech_offensive_classification	fs_opt
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. Let me give you an example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers Label: Hate Speech The answer to this example can be: true Here is why: The writer mentions emotions like hating so it is clearly a hate speech. OK. solve this: Tweet: " jus meet son now he ya mane ass bitches " #Shots Label: Offensive Answer:	true	8	NIv2	task905_hate_speech_offensive_classification	fs_opt
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. Tweet: “@_tellmeboutLOVE: Gave that bitch a bib since she wanna act messy” Label: Hate Speech false Tweet: @lord_jonesss none of my business ? Nigga if you get that I'm living with you lol and I'm stealing one of them bitches and 100k 🐸☕️ Label: Hate Speech true Tweet: !!!!!!!!!!!!! RT @ShenikaRoberts: The shit you hear about me might be true or it might be faker than the bitch who told it to ya  Label: Offensive	true	0	NIv2	task905_hate_speech_offensive_classification	fs_opt
Given the task definition, example input & output, solve the new input case. You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. Example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers Label: Hate Speech Output: true The writer mentions emotions like hating so it is clearly a hate speech. New input case for you: Tweet: All Okies are trash. Label: Hate Speech Output:	false	1	NIv2	task905_hate_speech_offensive_classification	fs_opt
instruction: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. question: Tweet: @Chink_19 shut up chink.!!! Label: Hate Speech answer: true question: Tweet: Proud to be a redneck patriot :) @Docs357 @Cats_lmbo @KoichicCheryl @bja_tw @yrwol7 @DavesGrill Label: Offensive answer: false question: Tweet: "no pussy, or not tryna go to the studio, don't CALL my mufuckin crib like that, god. Yo. Word up god I will BUSS YO SHIT, god, word up" Label: Offensive answer:	true	9	NIv2	task905_hate_speech_offensive_classification	fs_opt
Given the task definition, example input & output, solve the new input case. You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. Example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers Label: Hate Speech Output: true The writer mentions emotions like hating so it is clearly a hate speech. New input case for you: Tweet: If i wasn't a Yankee fan i probably would be a SF Giants fan LOL Label: Hate Speech Output:	false	1	NIv2	task905_hate_speech_offensive_classification	fs_opt
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. Input: Consider Input: Tweet: @emmysetter14 dayum saterlyt shoz un bayg ho-ul Label: Neither Output: true Input: Consider Input: Tweet: @bad_boy_six @ksteven37 Here ya go wetback, eat this.. http://t.co/kf6PgZvH5G Label: Hate Speech Output: true Input: Consider Input: Tweet: Fucking with these hoes nigga don't be no dumby Label: Offensive	Output: false	2	NIv2	task905_hate_speech_offensive_classification	fs_opt
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. Example input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers Label: Hate Speech Example output: true Example explanation: The writer mentions emotions like hating so it is clearly a hate speech. Q: Tweet: Fucking with these hoes nigga don't be no dumby Label: Offensive A:	false	3	NIv2	task905_hate_speech_offensive_classification	fs_opt
Part 1. Definition You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. Part 2. Example Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers Label: Hate Speech Answer: true Explanation: The writer mentions emotions like hating so it is clearly a hate speech. Part 3. Exercise Tweet: "@UberFacts: 15 sad TV character deaths we're still bitter over... http://t.co/uLclFUF8nC http://t.co/1RXYQOOsM0"ned stark was the man Label: Neither Answer:	true	7	NIv2	task905_hate_speech_offensive_classification	fs_opt
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. [EX Q]: Tweet: Conan Obrien needs to get a life with that $80 million..monkey food maybe. Label: Offensive [EX A]: false [EX Q]: Tweet: @bad_boy_six @ksteven37 Here ya go wetback, eat this.. http://t.co/kf6PgZvH5G Label: Hate Speech [EX A]: true [EX Q]: Tweet: @jsimsromance My guy is a Maine coon and a total cuddle bum. Every one that I've ever met has been super friendly. Label: Neither [EX A]:	true	6	NIv2	task905_hate_speech_offensive_classification	fs_opt
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. Ex Input: Tweet: RT @DCPlod: The paranoid fear of sharia on the right boils down to: Christian fundamentalists should be the sole oppressors and persecu ... Label: Hate Speech Ex Output: false Ex Input: Tweet: “@Yummy: Oreo ice cream cake 🙌 http://t.co/dvabPmgQjo” 😍 Label: Neither Ex Output: true Ex Input: Tweet: @RebellBlume Hats on us not trash tho lol Label: Neither Ex Output:	true	1	NIv2	task905_hate_speech_offensive_classification	fs_opt
Detailed Instructions: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. See one example below: Problem: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers Label: Hate Speech Solution: true Explanation: The writer mentions emotions like hating so it is clearly a hate speech. Problem: Tweet: “@bbluedreamm: “@Pouyalilpou: depressed but I got hoes” same” Label: Neither Solution:	false	4	NIv2	task905_hate_speech_offensive_classification	fs_opt
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. Example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers Label: Hate Speech Example solution: true Example explanation: The writer mentions emotions like hating so it is clearly a hate speech. Problem: Tweet: @Alan_Casillas bitches or wat Label: Hate Speech	Solution: false	5	NIv2	task905_hate_speech_offensive_classification	fs_opt
Teacher: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. Teacher: Now, understand the problem? If you are still confused, see the following example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers Label: Hate Speech Solution: true Reason: The writer mentions emotions like hating so it is clearly a hate speech. Now, solve this instance: Tweet: Oh man. This could be a serious first ever Chanel bag contender RT @evachen212 grape-colored Chanel bags http://t.co/q8ShjIFv Label: Offensive Student:	false	2	NIv2	task905_hate_speech_offensive_classification	fs_opt
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. Let me give you an example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers Label: Hate Speech The answer to this example can be: true Here is why: The writer mentions emotions like hating so it is clearly a hate speech. OK. solve this: Tweet: @cryancarfield haven't you ever heard the story of the birds and the bees Label: Neither Answer:	true	8	NIv2	task905_hate_speech_offensive_classification	fs_opt
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. One example is below. Q: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers Label: Hate Speech A: true Rationale: The writer mentions emotions like hating so it is clearly a hate speech. Q: Tweet: RT @Cougar745III: this girl comes into class with fried chicken and pulls hot sauce out of her purse i mean come on how ghetto & Stereotypi… Label: Neither A:	false	9	NIv2	task905_hate_speech_offensive_classification	fs_opt
Part 1. Definition You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. Part 2. Example Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers Label: Hate Speech Answer: true Explanation: The writer mentions emotions like hating so it is clearly a hate speech. Part 3. Exercise Tweet: “@__Neecol: Like why tf is this bitch following me ?”👀 Label: Neither Answer:	false	7	NIv2	task905_hate_speech_offensive_classification	fs_opt
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task. You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers Label: Hate Speech Solution: true Why? The writer mentions emotions like hating so it is clearly a hate speech. New input: Tweet: RT @AIanHangover: "Bae" means "Before Anyone Else," I've been here thinking it's a ghetto word for babe/baby. Label: Hate Speech Solution:	false	0	NIv2	task905_hate_speech_offensive_classification	fs_opt
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. [Q]: Tweet: @AlexaDelsanter karma is a bitch Label: Neither [A]: false [Q]: Tweet: “@1muneyy: Had to unfollow that bitch .. thot bitch got me fired from Sonic”she must've tweeted Label: Offensive [A]: true [Q]: Tweet: Oh man. This could be a serious first ever Chanel bag contender RT @evachen212 grape-colored Chanel bags http://t.co/q8ShjIFv Label: Offensive [A]:	false	5	NIv2	task905_hate_speech_offensive_classification	fs_opt
TASK DEFINITION: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. PROBLEM: Tweet: 👍RT @kwagiheath: One'a y'all b!tches gon end up dead over a screen shot thinkn that sh!t funny...ain't too many niccas gon laugh at that b! Label: Offensive SOLUTION: true PROBLEM: Tweet: @Crackerboyy these hoes really out here Label: Neither SOLUTION: false PROBLEM: Tweet: "hick and raver is a venn diagram that has a very large intersection" Label: Neither SOLUTION:	true	8	NIv2	task905_hate_speech_offensive_classification	fs_opt
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. Example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers Label: Hate Speech Example solution: true Example explanation: The writer mentions emotions like hating so it is clearly a hate speech. Problem: Tweet: “@chrisbrown: These hoes ain't loyal [i would know cause I'm a hoe] but my fans damn sure are!” - real Label: Neither	Solution: false	5	NIv2	task905_hate_speech_offensive_classification	fs_opt
Teacher: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. Teacher: Now, understand the problem? If you are still confused, see the following example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers Label: Hate Speech Solution: true Reason: The writer mentions emotions like hating so it is clearly a hate speech. Now, solve this instance: Tweet: "hick and raver is a venn diagram that has a very large intersection" Label: Neither Student:	true	2	NIv2	task905_hate_speech_offensive_classification	fs_opt
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. Input: Consider Input: Tweet: @ofhdirector Everybody, look at this bird-killing wind mill lover. ;-) Label: Neither Output: true Input: Consider Input: Tweet: @JoeDouglas1 I guess blaspheme to your Allah is ok if your pos muzzie huh? @JewJitsuGrl @efilnikcufecin7 @Darknight420 Label: Hate Speech Output: true Input: Consider Input: Tweet: Dreamed I was eating a brownie and started salivating and woke up almost coughing myself to death. Today is a struggle. Label: Offensive	Output: false	2	NIv2	task905_hate_speech_offensive_classification	fs_opt
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. Q: Tweet: @NFLonFOX Random thought - If a bird crossing the path of a FG try were impacted by ball causing it to deflect off course. Re-kick or miss? Label: Neither A: true ** Q: Tweet: @JizzAtTheScene and how am I assume shit ,hmm cuz u don't know what fuck u talking about crackers these days. Label: Hate Speech A: true ** Q: Tweet: May the bird of paradise fly up your nose. May an elephant caress you with his toes. May your wife have runners u… http://t.co/h6e278e85s Label: Hate Speech A:	false ****	4	NIv2	task905_hate_speech_offensive_classification	fs_opt
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. [EX Q]: Tweet: "@SportsCenter: USC senior RB Anthony Brown calls head coach Steve Sarkisian a racist and quits team. » http://t.co/JOOsdSubIR" he's a bitch Label: Neither [EX A]: true [EX Q]: Tweet: @ChrisMcDowell_ dont be a bitch. Label: Neither [EX A]: false [EX Q]: Tweet: @THERACISTDOCTOR One less little nigger that would grow up into a big nigger. Label: Hate Speech [EX A]:	true	6	NIv2	task905_hate_speech_offensive_classification	fs_opt
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. One example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers Label: Hate Speech Solution is here: true Explanation: The writer mentions emotions like hating so it is clearly a hate speech. Now, solve this: Tweet: Charlie Crist wins Democratic primary in Florida governor's race, AP projects http://t.co/Gy9uRBtQ1q via @WSJ Label: Hate Speech Solution:	false	6	NIv2	task905_hate_speech_offensive_classification	fs_opt
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. One example is below. Q: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers Label: Hate Speech A: true Rationale: The writer mentions emotions like hating so it is clearly a hate speech. Q: Tweet: @shefeelsD_Payne hell naw he ain't he the star of that team lol but I'm sure that white honkey called him a nigga Label: Hate Speech A:	true	9	NIv2	task905_hate_speech_offensive_classification	fs_opt
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. [EX Q]: Tweet: @ActaBunniFooFoo I like my gross yellow heat lamps. Why? Label: Neither [EX A]: true [EX Q]: Tweet: “@itsDeSha__: I don't take people niggas bitches don't play about they niggas , specially they baby daddies 😭😂😂😂”No BS Label: Neither [EX A]: false [EX Q]: Tweet: @MarkB_LifeStyle @SportsCenter @Athletics Cant the Yankees make some last weeks moves?? Label: Neither [EX A]:	true	6	NIv2	task905_hate_speech_offensive_classification	fs_opt
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. Ex Input: Tweet: 👍RT @kwagiheath: One'a y'all b!tches gon end up dead over a screen shot thinkn that sh!t funny...ain't too many niccas gon laugh at that b! Label: Offensive Ex Output: true Ex Input: Tweet: RT @Ivan_splash: "Did u call me a bitch?" "I said you were ACTING like one" "So you just called me one nigga" "Shut up bitch" Label: Neither Ex Output: false Ex Input: Tweet: I took 2 "Rebel vs. Yankee" tests (40 questions, accents, word usage) and scored a total % of 47.5% Rebel vs. 52.5% Yankee in southern Pa. Label: Offensive Ex Output:	false	1	NIv2	task905_hate_speech_offensive_classification	fs_opt
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. [EX Q]: Tweet: Ay what are some good bars/clubs to hit up in Denver?? Should be up there Saturday night to coon out. Label: Hate Speech [EX A]: false [EX Q]: Tweet: @Fru_Iam I seen sum of it but I'm tryin see lox n mook Label: Neither [EX A]: true [EX Q]: Tweet: Charlie Crist wins Democratic primary in Florida governor's race, AP projects http://t.co/Gy9uRBtQ1q via @WSJ Label: Hate Speech [EX A]:	false	6	NIv2	task905_hate_speech_offensive_classification	fs_opt
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. -------- Question: Tweet: 😂😂 maaaaannnn i hope so! RT @ABrown252: @VonshayeB did we get rid of John Legend looking Charlie Batch? Label: Neither Answer: true Question: Tweet: "I'll slit your throat-neck" http://t.co/ChFFSDeDdd Label: Neither Answer: true Question: Tweet: @shefeelsD_Payne hell naw he ain't he the star of that team lol but I'm sure that white honkey called him a nigga Label: Hate Speech Answer:	true	7	NIv2	task905_hate_speech_offensive_classification	fs_opt
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task. You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers Label: Hate Speech Solution: true Why? The writer mentions emotions like hating so it is clearly a hate speech. New input: Tweet: “@A_Brown_30: Frogger, best game ever” only cuz You suck at flappy bird Label: Neither Solution:	true	0	NIv2	task905_hate_speech_offensive_classification	fs_opt
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. Ex Input: Tweet: And I'm definitely top 3 at makin beats in the city but y'all niggers love your trap beats so y'all probably won't admit that Label: Hate Speech Ex Output: true Ex Input: Tweet: “@dominiloka: If you can't get pussy without lying to a girl you wack” don't hate. appreciate. Label: Hate Speech Ex Output: false Ex Input: Tweet: Fuck a lame nigga than you a lame bitch Label: Neither Ex Output:	false	1	NIv2	task905_hate_speech_offensive_classification	fs_opt
instruction: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. question: Tweet: @FAGHETTIOS speak english prude ass white bitch Label: Hate Speech answer: false question: Tweet: RT @VaTxn: Illegal alien is not a race. It's a crime. @MuchoMacho @McDonalds @jeandeaux1776 @cspanwj #wetbacks http://t.co/pf2YpelyOP Label: Offensive answer: false question: Tweet: ' Baby moanin.... Got me zone'nn , I want this bitch next too me.... Pussy like ecstasy 󾭛󾌡 . Label: Hate Speech answer:	false	9	NIv2	task905_hate_speech_offensive_classification	fs_opt
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. -------- Question: Tweet: 2+2 not knowing wtf it is bitch Label: Hate Speech Answer: false Question: Tweet: "Shake that Bear ... aka two rednecks having sex on a dead bear" Label: Offensive Answer: true Question: Tweet: #porn,#android,#iphone,#ipad,#sex,#xxx, \| #CloseUp \| amateur pussy player milf close up http://t.co/2uHL7dhHu1 Label: Offensive Answer:	true	7	NIv2	task905_hate_speech_offensive_classification	fs_opt
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. Tweet: 'Every bitch got a fat ass or she $3,000 from it' #RNS Label: Hate Speech false Tweet: Omg!!! You won't say it to my face! Stupid ass hoes talkin shit!!! Imma whoop her ass!!! over dramatic teenage girls Label: Offensive false Tweet: Fantasy squad doing so trash :/ Label: Offensive	false	0	NIv2	task905_hate_speech_offensive_classification	fs_opt
Detailed Instructions: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. See one example below: Problem: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers Label: Hate Speech Solution: true Explanation: The writer mentions emotions like hating so it is clearly a hate speech. Problem: Tweet: “@SheTwirlsMyKan3: I say bitch bad, woman good, lady better” Lupe? Label: Offensive Solution:	true	4	NIv2	task905_hate_speech_offensive_classification	fs_opt
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task. You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers Label: Hate Speech Solution: true Why? The writer mentions emotions like hating so it is clearly a hate speech. New input: Tweet: @BeattyJustin @KYOppCoalition And just what is that bitch gonna do for women? Label: Neither Solution:	false	0	NIv2	task905_hate_speech_offensive_classification	fs_opt
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. [EX Q]: Tweet: .@AlyssSmithh @KeveeeD Yes indeed! Camels, ostriches and zebras! Sept. 5-7 http://t.co/X3Oapfm3e8 #VCCamelRaces Label: Neither [EX A]: true [EX Q]: Tweet: Damn Charlie Wilson is still around? Label: Offensive [EX A]: false [EX Q]: Tweet: "@PRAYINGFORHEAD: “@macklemroe: Stop bringing weird niggers into my mentions! @PRAYINGFORHEAD” http://t.co/cussDJesRK" Label: Offensive [EX A]:	true	6	NIv2	task905_hate_speech_offensive_classification	fs_opt
Part 1. Definition You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. Part 2. Example Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers Label: Hate Speech Answer: true Explanation: The writer mentions emotions like hating so it is clearly a hate speech. Part 3. Exercise Tweet: "@PRAYINGFORHEAD: “@macklemroe: Stop bringing weird niggers into my mentions! @PRAYINGFORHEAD” http://t.co/cussDJesRK" Label: Offensive Answer:	true	7	NIv2	task905_hate_speech_offensive_classification	fs_opt
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. Tweet: "I would rather you call me bitch than sir" -my manager Label: Offensive true Tweet: @Joey_D26 sweet comeback u fuckin herb I dnt watch soccer but id still wax your bitch ass in it go swallow the red soxs kids ur from NYC fag Label: Hate Speech true Tweet: @BobbyBotsods @FuckTheMallcops @UncleUnco @MrMooncricket ur weird, racist bitch. Label: Hate Speech	false	0	NIv2	task905_hate_speech_offensive_classification	fs_opt
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. Example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers Label: Hate Speech Example solution: true Example explanation: The writer mentions emotions like hating so it is clearly a hate speech. Problem: Tweet: Obama's Hellfire missiles tend to vaporize Jihadis @BemetOr8 @PureMonotheist #UniteBlue Label: Hate Speech	Solution: false	5	NIv2	task905_hate_speech_offensive_classification	fs_opt
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. Let me give you an example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers Label: Hate Speech The answer to this example can be: true Here is why: The writer mentions emotions like hating so it is clearly a hate speech. OK. solve this: Tweet: “@ericwooden21 “@DrTruth247: Pineapples on sale at publix”hoes on sale too”up stairs Label: Hate Speech Answer:	false	8	NIv2	task905_hate_speech_offensive_classification	fs_opt
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. Input: Consider Input: Tweet: Lmao RT @iPOSTBADTWEETS: Lowkey Peyton Manning trash Label: Offensive Output: false Input: Consider Input: Tweet: Little fucking gook who smells like shit. An than thinking they're the motherfuckin boss. THE FUCK! Label: Offensive Output: false Input: Consider Input: Tweet: RT @DNAinfoCHI: The new nature area replacing Indian Boundary Park's former zoo is expected to attract a variety of migratory birds http://… Label: Hate Speech	Output: false	2	NIv2	task905_hate_speech_offensive_classification	fs_opt
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. Example Input: Tweet: Flabby bird sounds Turrible. Lol. I'll just stick to watching paint dry... Label: Hate Speech Example Output: false Example Input: Tweet: All good things must come to an end, that's all right get 'em tomorrow #Yankees Label: Hate Speech Example Output: false Example Input: Tweet: @Druggzz_ Its gonna bring it down though unless its turning into a welt already, like a bubble wit pussy. Gotta pop it an it'll be gone Label: Hate Speech Example Output:	false	3	NIv2	task905_hate_speech_offensive_classification	fs_opt
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. [Q]: Tweet: @BlakeAnderson21@dalton_ryann @justinmiculka01 bitch got the crew hype an still got her ass beat tonight should have brought him to us Label: Neither [A]: false [Q]: Tweet: Not ya grandma brownies, wink wink http://t.co/pZPI8RUQ4F Label: Hate Speech [A]: false [Q]: Tweet: “@ChrizzyFive: Trying to run game on me u dumb bitch !!” @ her tho Label: Offensive [A]:	true	5	NIv2	task905_hate_speech_offensive_classification	fs_opt
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. Let me give you an example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers Label: Hate Speech The answer to this example can be: true Here is why: The writer mentions emotions like hating so it is clearly a hate speech. OK. solve this: Tweet: @CallMeRenee_ bitch u bs how fck yah ✌️😩😂😂👐👏😎💁 Label: Neither Answer:	false	8	NIv2	task905_hate_speech_offensive_classification	fs_opt
Given the task definition, example input & output, solve the new input case. You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. Example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers Label: Hate Speech Output: true The writer mentions emotions like hating so it is clearly a hate speech. New input case for you: Tweet: A pharaohs nd his angry bird http://t.co/jMC2eR32Ka Label: Offensive Output:	false	1	NIv2	task905_hate_speech_offensive_classification	fs_opt
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. Example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers Label: Hate Speech Example solution: true Example explanation: The writer mentions emotions like hating so it is clearly a hate speech. Problem: Tweet: You fucking fag “@baethingape: this is exactly what i am talking about women are pigs http://t.co/oKR3seYFBJ” Label: Neither	Solution: false	5	NIv2	task905_hate_speech_offensive_classification	fs_opt

TASK DEFINITION: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise. PROBLEM: Tweet: @HobsonDarlene #BlessJesus Amos 3:3 Can two walk together, unless they are agreed? #DifferentLevels Label: Neither SOLUTION: true PROBLEM: Tweet: @AlexaDelsanter karma is a bitch Label: Neither SOLUTION: false PROBLEM: Tweet: Hey @DreamShakeSBN fans. If anyone is wondering what the yellow tab on the back of the collar for - it's for teams that have won a champion Label: Offensive SOLUTION:

false

8

NIv2